InspireFaceInspireFace1.2.4.d3
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Home
Get started
Get and build the SDK
Examples
  • English
  • 简体中文
GitHub
Face detection, recognition and image processing with InspireFace

InspireFace

Detect, track and compare faces in your own application.

Run your first exampleSource on GitHub

Images and video

Detect faces in a photograph, track them across frames, and read landmarks, pose and quality from the same session.

Choose your API

Use C, C++, Python, Android Java, HarmonyOS ArkTS, Objective-C or Swift. Enable the extra models your application needs.

Choose your deployment

Start on CPU, then select a matching SDK and model pack for Apple CoreML, Rockchip NPU or NVIDIA TensorRT.

Where to go next

Introduction and demoExplore the SDK and try the Android demo.→Get startedDetect a face with a few lines of code.→Image inputsConnect a camera or work with raw image buffers.→Recognition and FeatureHubCompare two faces or search a face gallery.→Image processingResize and transform images or prepare model inputs in C++.→TroubleshootingFind answers when an example fails to run.→Get and build the SDKDownload a prebuilt package or compile for your target platform.→Python packagingReplace the native library and create your own wheel.→Apple appsUse Objective-C or Swift on iOS and macOS.→API coverageFind an example for each feature and language.→
InspireFace · Documentation and examples For the latest SDK updates, follow the develop repository.